Fidelity Managed Futures Etf Market Value
| FFUT Etf | 51.15 0.01 0.02% |
| Symbol | Fidelity |
The market value of Fidelity Managed Futures is measured differently than its book value, which is the value of Fidelity that is recorded on the company's balance sheet. Investors also form their own opinion of Fidelity Managed's value that differs from its market value or its book value, called intrinsic value, which is Fidelity Managed's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Fidelity Managed's market value can be influenced by many factors that don't directly affect Fidelity Managed's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Fidelity Managed's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Managed is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Managed's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Fidelity Managed 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Fidelity Managed's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Fidelity Managed.
| 05/25/2025 |
| 08/23/2025 |
If you would invest 0.00 in Fidelity Managed on May 25, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Managed Futures or generate 0.0% return on investment in Fidelity Managed over 90 days. Fidelity Managed is related to or competes with Draco Evolution, ProShares VIX, ProShares VIX, Advisors Inner, Simplify Exchange, and IPath Series. Fidelity Managed is entity of United States More
Fidelity Managed Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Fidelity Managed's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Fidelity Managed Futures upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4755 | |||
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 2.15 | |||
| Value At Risk | (0.80) | |||
| Potential Upside | 0.8119 |
Fidelity Managed Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Managed's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Managed's standard deviation. In reality, there are many statistical measures that can use Fidelity Managed historical prices to predict the future Fidelity Managed's volatility.| Risk Adjusted Performance | 0.0394 | |||
| Jensen Alpha | 0.0056 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.16) | |||
| Treynor Ratio | 0.1375 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Managed's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Fidelity Managed Futures Backtested Returns
Currently, Fidelity Managed Futures is very steady. Fidelity Managed Futures secures Sharpe Ratio (or Efficiency) of 0.0621, which denotes the etf had a 0.0621 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Fidelity Managed Futures, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Managed's Coefficient Of Variation of 1609.98, downside deviation of 0.4755, and Mean Deviation of 0.3301 to check if the risk estimate we provide is consistent with the expected return of 0.0279%. The etf shows a Beta (market volatility) of 0.13, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity Managed's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Managed is expected to be smaller as well.
Auto-correlation | -0.7 |
Very good reverse predictability
Fidelity Managed Futures has very good reverse predictability. Overlapping area represents the amount of predictability between Fidelity Managed time series from 25th of May 2025 to 9th of July 2025 and 9th of July 2025 to 23rd of August 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Fidelity Managed Futures price movement. The serial correlation of -0.7 indicates that around 70.0% of current Fidelity Managed price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.7 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
Fidelity Managed Futures lagged returns against current returns
Autocorrelation, which is Fidelity Managed etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Fidelity Managed's etf expected returns. We can calculate the autocorrelation of Fidelity Managed returns to help us make a trade decision. For example, suppose you find that Fidelity Managed has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Fidelity Managed regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Fidelity Managed etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Managed etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Managed etf over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Managed Lagged Returns
When evaluating Fidelity Managed's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Managed etf have on its future price. Fidelity Managed autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Fidelity Managed autocorrelation shows the relationship between Fidelity Managed etf current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Managed Futures.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out Fidelity Managed Correlation, Fidelity Managed Volatility and Fidelity Managed Alpha and Beta module to complement your research on Fidelity Managed. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Fidelity Managed technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.